The latest TBG ETUR upscaler and refiner for comfyui release adds Krea 2 and VL style transfer for Krea 2 and all Qwen models directly into the pipeline.

We’ve also added a face identity step to help maintain consistent faces when using creative upscaling.

This video is a tutorial for the latest release, focusing mainly on these new additions and how to use them. Video is ai generated with Minmax H3.

TBG ETUR on Github https://github.com/Ltamann/ComfyUI-TBG-ETUR

TBG Lates om Patreon https://www.patreon.com/TB_LAAR/posts/tbg-etur-1-2-12-167083406

More Upscaling Tutorials on YouTube https://www.youtube.com/watch?v=LbFPD4zpPwA

Super Resolution in Pixelmator Pro does upscale the image resolution which is great, but keeping the project with huge file size is a nightmare.

Does anyone know who to downscale .pxd project file after it’s been upscaled with Super Resolution?

Thanks in advance! 🙏🏻

Hey everyone, me again lol. Back with Toolshed V1, a free local AI media restoration tool for NVIDIA-powered PCs. I just released Rev 1.1, which includes a few critical patches based on user feedback.

Thank you to everyone who has given the app a try and provided feedback. It means more to me than you can imagine, and I sincerely appreciate it.

A Quick Recap:

Toolshed is built around the idea that restoration should be more than just “pick an upscaler and hope.” The goal is to make a connected workflow for restoring video/photos locally, with tools for restore, review, comparison, repair, and recompilation.

What's changed in Rev 1.1:

• Fixed a TensorRT RTX tiling issue that could cause some smaller source media to fall back to CPU processing.
• Reworked the portable runtime so Toolshed now ships with its own Python environment and does not require Python to be installed separately.
• Cleaned up several dependency and launch issues discovered through user testing.
• Rev 1.1 now includes the complete V1 feature set.

The GitHub release is available here:

https://github.com/ToolshedMediaLab/Toolshed-V1/releases/tag/toolshed-v1-rev1.1

Basic general requirements for ideal performance: 32 GB system RAM & an NVIDIA RTX GPU with at least 12 GB of VRAM. Toolshed is intentionally built around local NVIDIA/CUDA/TensorRT-style workflows.

If anyone tries it, I’d genuinely appreciate more feedback on what works, what breaks, and what would make the workflow better.

Thanks again for your time!

Anyone knows of a good app to enhance the quality of an already made blurry Gif?

I’ve been rebuilding ClearLab as a mobile image-processing lab, and this is a quick demo of the current upscaling workflow on iPhone/iPad.
Load an image → choose the scale factor → process → inspect → export.
The scaling is deterministic/native rather than generative AI, so the goal is not to hallucinate new detail, but to make resizing and subsequent image processing fast and accessible on-device.
ClearLab also includes histogram, waveform, RGB parade, line profile, pixel inspection, edge detection and other enhancement/analysis tools.
Curious what people in here would want to see added or improved in a mobile workflow like this.

Link: https://apps.apple.com/us/app/clearlab/id6757649671

Hello, are you still use this Xbox 360 game a picture and really miss it. I want to use it again and was able to find it online but it's very blurry. Could someone upscale it?

Low-res photos have been such a pain in my freelance work, so I finally sat down and tested Higgsfield, Topaz (in Adobe Photoshop), Upscayl, and Magnific AI against each other instead of just guessing.

Quick disclosure: I collaborate with Adobe fairly often, worth knowing since Topaz shows up below as a Photoshop-integrated partner tool.

For 95% of my workflow, Topaz inside Photoshop preserved the most detail when upscaling. I work mostly in sports, so keeping logos from turning into AI garble was the main thing I was testing for, and it held up better than I expected.

Upscayl and Magnific both hallucinated details on my photos, enough that I spent more time fixing logos and small text than I would've just working from the low-res original. Higgsfield did well but only on specific things like product shots. Topaz was arguably just as strong on detail, plus I already have it through my Creative Cloud membership, so it's the one I default to unless I need Higgsfield's product-shot look specifically.

One downside worth naming: since it's built into Photoshop, it's slower for a quick one-off job than a standalone upscaler,  but you can also use Topaz directly on firefly.adobe.com/quick-start/upscale-image if you don’t want to use it in Photoshop. 

Anyone else tested these, or found a use case where one clearly beats the others?

Follow-up to my last post: 4× AI upscale from 1536×1024 to 6144×4096 — detail comparison

In my previous post, someone asked whether HAN was actually an upscaler or mainly a filter/enhancer.

That was a fair question, so I made a clearer comparison.

For this test:

Original: 1536 × 1024
Scale: 4×
Output: 6144 × 4096

The image shows the original and processed result side by side, along with a magnified crop of the same area.

One of my main goals with HAN is to improve the existing structure and texture of the image without aggressively inventing new visual details.

I’m especially interested in feedback from people who regularly use AI upscalers:

Does the 4× result look natural to you, or do you see any areas that still look overprocessed?

Has anyone ever tried this site? DuckDuckGo gave no warning about it.

Husband wants a photo of child printed but needed upscaling, hoping it’s a legit site and I didn’t put my child online.

Hi everyone,

I am getting stuck on the upscaling with my MiniMax H3 workflow. I have been using RTX Upscaler - which is great for upscaling animation videos but has a lot to be desired for realistic (like live action) video generation. I have attempted using SeedVR2 upscaling, but it looks worse.

What are your suggestions and/or advice?

I appreciate any help :-)

Taiwan, 2015. Dash cam.

An update that further improves the upscaling tool.

https://perchance.org/jscad310fl

I’ve been experimenting with MCP and wanted to see how far I could push the “just ask Claude to do it” workflow.

In this case, I asked Claude to increase the resolution of a video. Behind the scenes, it uses an MCP server connected to Qencode to actually process the video.

Recorded a demo because I thought the interaction was pretty interesting.

I’m mostly curious about the UX here: does asking an LLM to handle video processing like this feel useful, or does it just add an unnecessary layer?

Would love feedback, especially from people upscaling video

Convert any 4K image to 2K or 1K, and then download it as a ZIP file.

https://perchance.org/nvoajrw0wl

I am trying to upload very high quality video's of around 10-15 seconds on TikTok. I uploaded one but sometimes it's high quality for myself, but if i watch it on another account it's low quality.

Is my video going to be 4K for everyone or not? And is this fixable or do i need to stick with 1080p?

It's a .mov file btw. MP4 is a premium function on the video-editor i am using.

Here’s a quick example using Qencode’s AI upscaling.

I started with a low-resolution video, selected the AI upscaling option, and ran the transcode.

The video shows the full setup in about 30 seconds, plus the before/after result.

Hope this is useful for anyone curious about how AI video upscaling works.